Title
Performance analysis of coordinated cognitive radio networks under fixed-rate traffic with hard delay constraints.
Abstract
Due to the unpredictable nature of channel availability, carrying delay-sensitive traffic in cognitive radio networks (CRNs) is very challenging. Spectrum leasing of radio resources has been proposed in the so called coordinated CRNs to improve the quality of service (QoS) experienced by secondary users (SUs). In this paper, the performance of coordinated CRNs under fixed-rate with hard-delay-constraints traffic is analyzed. For the adequate and fair performance comparison, call admission control strategies with fractional channel reservation to prioritize ongoing secondary calls over new ones are considered. Maximum Erlang capacity is obtained by optimizing the number of reserved channels. Numerical results reveal that system performance strongly depends on the value of the mean secondary service time relative to the mean primary service time. Additionally, numerical results show that, in CRNs without spectrum leasing, there exists a critical utilization factor of the primary resources from which it is not longer possible to guarantee the required QoS of SUs and, therefore, services with hard delay constraints cannot be even supported in CRNs. Thus, spectrum leasing can be essential for CRN operators to provide the QoS demanded by fixed-rate applications with hard delay constraints. Finally, the cost per capacity Erlang as function of both the utilization factor of the primary resources and the maximum allowed number of simultaneously rented channels is evaluated.
Year
DOI
Venue
2014
10.1109/JCN.2014.000023
Journal of Communications and Networks
Keywords
Field
DocType
Quality of service,Cognitive radio,Sensors,Delays,Call admission control,Capacity planning,Mathematical model
Call Admission Control,Computer science,Erlang (programming language),Computer network,Fixed interest rate loan,Communication channel,Quality of service,Real-time computing,Operator (computer programming),Service time,Cognitive radio
Journal
Volume
Issue
ISSN
16
2
1229-2370
Citations 
PageRank 
References 
6
0.41
24
Authors
4